Enhancing and Automating Reporting of R&D Expenditure Data Using Maching Learning Techniques

Autores/as

  • Joshua L. Rosenbloom Iowa State University, National Bureau of Economic Research
  • Rodolfo Torres University of Kansas
  • Joseph St. Amand University of Kansas
  • Adrienne Sadovsky University of Kansas

DOI:

https://doi.org/10.17161/merrill.2017.7749

Métricas

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Group photo from 2017 retreat. First row, left to right: Ian Czarnezki, Mike Cannon, Margaret Rogers, Michael Huerta, Mabel Rice, John Columbo. Second row, Amanda Kulp, Dan Reed, Steve Goddard, Russ Waitman, David Eichman. Third row, Josh Rosenbloom, Amy Sokol, Teresa Girolamo, Claire Selin, Carolyn Lawrence-Dill. Fourth row: Joe Heppert, Carl Lejuezz, Rick Barohn, Jennifer L. Clark, Surya Mallapragada, Kathleen Kelsey Erarnest, Suzanne Scales

Descargas

Publicado

2017-09-01

Número

2017: University Research Planning in the Data Era: Working with the Levers and Pulleys that Tie Together Research Information, from Big Data to Local Details

Sección

Articles

Licencia

Copyright is held by The University of Kansas Merrill Advanced Studies Center or individual author

Cómo citar

Rosenbloom, J. L., Torres, R., St. Amand, J., & Sadovsky, A. (2017). Enhancing and Automating Reporting of R&D Expenditure Data Using Maching Learning Techniques. Merrill Series on The Research Mission of Public Universities, 35-46. https://doi.org/10.17161/merrill.2017.7749